Journal
ULTRASOUND IN MEDICINE AND BIOLOGY
Volume 38, Issue 10, Pages 1695-1704Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ultrasmedbio.2012.04.021
Keywords
Ultrasound image; Muscle; Finger flexion; Recognition; Image registration; Deformation field
Funding
- National Natural Science Foundation of China [60701021]
- Innovation Program of Shanghai Municipal Education Commission [09YZ15]
- Leading Academic Discipline Project of Shanghai Educational Committee [J50104]
- Hong Kong Polytechnic University [G-YE22, J-BB69]
- Grant Council of Hong Kong [PolyU 5331/06E]
Ask authors/readers for more resources
Muscle contraction results in structural and morphologic changes of the related muscle. Therefore, finger flexion can be monitored from measurements of these morphologic changes. We used ultrasound imaging to record muscle activities during finger flexion and extracted features to discriminate different fingers' flexions using a support vector machine (SVM). Registration of ultrasound images before and after finger flexion was performed to generate a deformation field, from which angle features and wavelet-based features were extracted. The SVM was then used to classify the motions of different fingers. The experimental results showed that the overall mean recognition accuracy was 94.05% +/- 4.10%, with the highest for the thumb (97%) and the lowest for the ring finger (92%) and the mean F value was 0.94 +/- 0.02, indicating high accuracy and reliability of this method. The results suggest that the proposed method has the potential to be used as an alternative method of surface electromyography in differentiating the motions of different fingers. (E-mail: junshi@staff.shu.edu.cn) (c) 2012 World Federation for Ultrasound in Medicine & Biology.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available